CN111367499A - Product demand definition and tracing method based on standard index library - Google Patents
Product demand definition and tracing method based on standard index library Download PDFInfo
- Publication number
- CN111367499A CN111367499A CN202010198400.3A CN202010198400A CN111367499A CN 111367499 A CN111367499 A CN 111367499A CN 202010198400 A CN202010198400 A CN 202010198400A CN 111367499 A CN111367499 A CN 111367499A
- Authority
- CN
- China
- Prior art keywords
- standard
- index
- indexes
- retrieval
- demand
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/10—Requirements analysis; Specification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/248—Presentation of query results
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/28—Databases characterised by their database models, e.g. relational or object models
- G06F16/284—Relational databases
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Databases & Information Systems (AREA)
- General Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Mathematical Physics (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Optimization (AREA)
- Mathematical Analysis (AREA)
- Software Systems (AREA)
- Computational Mathematics (AREA)
- Algebra (AREA)
- Computing Systems (AREA)
- Computational Linguistics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention provides a product requirement defining and tracing method based on a standard index library, which comprises the following steps: s1: establishing data connection: storing the structured data of the standard indexes in a relational database, and establishing access connection between the relational database and a demand management tool; s2: and (3) standard index retrieval: opening a demand management tool, selecting demand items to be defined, and returning a retrieval result according to keyword information; s3: and (3) standard index comparison: obtaining one or more standard indexes according to a retrieval result obtained by the keyword retrieval; s4: selecting standard indexes: and selecting one standard index with the highest standard conformity value as a requirement item to be defined. The invention enables the product requirement definition stage to be scientific and convenient to quote the standard terms, and can quickly retrieve and select the required standard indexes when the standard indexes are quoted.
Description
Technical Field
The invention belongs to the technical field of standardization and information, and particularly relates to a product demand definition and tracing method based on a standard index library.
Background
The standard is a normative document, agreed upon and approved by a recognized agency, commonly used and reused for the best sequence within a certain range.
For product design, the requirement definition comes from various channels, and the standards provide requirements for products in the dimensions of technology, management, guarantee and the like and can be used as requirement input items. The standard traditional use mode is that standard paper or electronic text is adopted, a large amount of time and labor cost are consumed for searching standard index terms, the efficiency of a demand definition stage is not improved, and the demand source is difficult to control and trace.
Therefore, a product requirement definition and tracing method based on a standard index library is needed to perform structural reference on standard index terms, so that standard requirements can be referred more finely in a requirement definition stage, interoperability of requirements and standards is improved, an application mode of the standards is changed, and accuracy, efficiency and effect of requirement definition are improved.
Disclosure of Invention
The invention provides a product requirement definition method based on a standard index library aiming at the use limitation of text standards. The method is based on a structured, parameterized and schematized database of criteria indicators. The standard index database is connected with the demand management tool, index data in the standard index database can be conveniently retrieved and selected through the demand management tool, and a proper standard index can be automatically inserted into a specified position of a demand document in the demand management tool to form an automatic standard demand definition process. Meanwhile, the standard index library is convenient for tracing the demand, and can reversely locate the standard index and the affiliated standard information from the demand item to form a product demand definition and tracing full-flow loop based on the standard index library.
The invention is realized by the following steps:
specifically, the invention provides a product requirement definition and tracing method based on a standard index library, which comprises the following steps:
s1: establishing data connection: storing the structured data of the standard index in a relational database, establishing access connection between the relational database and a demand management tool, configuring a connection interface, establishing connection between the standard index database containing demand items to be defined and the demand management tool, and adding an access interface of a standard index retrieval interface in the demand management tool;
s2: and (3) standard index retrieval: opening a demand management tool, selecting demand items to be defined, finding a standard index retrieval interface in the demand management tool, inputting keyword retrieval standard index data of the demand items to be defined, accessing a standard index database by the demand management tool, and returning a retrieval result according to keyword information;
s3: and (3) standard index comparison: obtaining one or more standard indexes according to a retrieval result obtained by keyword retrieval, when the standard indexes are multiple, comparing the contents of the multiple standard indexes, selecting standard index data to be compared in the comparison process, adding all the standard index data to be compared into a standard index comparison list, and respectively comparing the attribute contents of the standard indexes to obtain a comparison result, wherein the specific standard index comparison method comprises the following steps:
comparing the standard indexes, determining the weight coefficient values of all attributes of the standard indexes by adopting an analytic hierarchy process, calculating a demand conformance result of each standard index through a standard index comparison calculation model, and selecting one standard index with the highest demand conformance as the final standard index;
the standard index comparison calculation model is as follows:
in the formula: sigmaiA weight coefficient being an attribute of the standard index; x is the number ofiThe standard indexes are attributes of the standard indexes, and the attributes of the standard indexes comprise an index name x1, an index clause x2, a standard name x3, an index value x4, an index chart x5, a test method x6, a product name x7, a superior product x8 and a test method chart x 9;
the method for determining the weight coefficient value of each attribute of the standard index comprises the following steps:
a. determining a relative importance judgment matrix of the standard index and carrying out consistency check according to the relative weight ratio of the coefficient and the consistency check rule by constructing an analytic hierarchy process model to obtain a weight coefficient sigma of the attribute of the standard indexiThe standard index importance weight coefficient vector matrix is as follows:
b. verifying the weight coefficient of the standard index importance weight coefficient vector matrix: in the analytic hierarchy process model, the consistency ratio is 0.0484, and a target coefficient 1.0000 conforming to the analytic hierarchy process model is obtained by calculation according to the standard index importance weight coefficient vector; λ max is 9.5651; proving that the weight coefficient of the matrix meets the requirement;
c. obtaining a weight coefficient sigma of an attribute of a standard indexiAs shown in the following table:
index attribute | Weight coefficient |
Index name | 0.2126 |
Terms of the index | 0.2045 |
Standard name | 0.1554 |
Product name | 0.111 |
Index value | 0.0945 |
Superior product | 0.0924 |
Index chart | 0.0587 |
Test method | 0.0411 |
Test method chart | 0.0299 |
S4: selecting standard indexes: and selecting a standard index with the highest standard conformity value as a requirement item to be defined, and if the clause requirement of the selected standard index is not completely suitable for the requirement, cutting or modifying the clause content of the standard index according to the actual condition.
Preferably, the data of the standard index library is structured and processed to form structured data in the form of standard indexes, and the structured data is stored in a relational database for being applied to the requirement definition stage, so that the requirement management tool can be conveniently connected and accessed.
Preferably, the requirement management tool stores requirement files, is used for requirement definition, authority management and state management, and can perform standard index database access, standard index retrieval and standard index selection.
Preferably, the standard retrieval adopts a mode comprising full-library retrieval and conditional retrieval, wherein the full-library retrieval is to retrieve standard index information according to keywords; the retrieval conditions that can be used for the condition retrieval include a standard name, a standard number, an index name, index terms, an index value, a higher-level index, a chapter number, a product name, and a higher-level product.
Preferably, the attributes of the standard indexes comprise index information, associated information, the affiliated standard system and a standard passing condition, wherein the index information comprises a product name, a superior product, a chapter number, an index name, a superior index, an index value, an index clause, an index chart, a test method chapter number, a test method chart and a test method; the associated information comprises experience training, cost information and risk information; the belonging standard comprises a standard number, a standard name and a standard state; the standard system comprises a system name and a node path; the standard penetrating condition comprises a product name, a product model, a matched model and a development unit.
Compared with the prior art, the application has the advantages that:
① the invention makes the product demand definition phase able to quote standard terms more scientifically and conveniently, when the standard index is quoted, the needed standard index can be retrieved quickly and selected, the demand definition of the invention is more scientific, and the standard index can be updated, modified and traced.
② the invention makes the application of standard more accurate, and can be detailed to standard terms and indexes, which is helpful to select more suitable index content.
③ the invention can learn by itself, and can gradually accumulate and expand the data in the standard index content library, the standard index adoption library and the product requirement library.
Drawings
FIG. 1 is a schematic flow diagram of the present invention;
FIG. 2 is a schematic diagram of a standard index according to the present invention;
FIG. 3 is a schematic diagram of an analytic hierarchy process of standard index attribute weight coefficients according to the present invention
Detailed Description
Hereinafter, embodiments of the present invention will be described with reference to the drawings.
According to the method, the product requirement definition method based on the standard index library is established, so that various operations such as definition, optimization, tracing and the like can be performed on the product requirement by directly using the standard indexes in the requirement definition stage, and the method is further described in detail below by combining the drawings and the specific implementation method.
Specifically, the invention provides a product requirement definition and tracing method based on a standard index library, which comprises the following steps:
s1: establishing data connection: storing the structured data of the standard index in a relational database, establishing access connection between the relational database and a demand management tool, configuring a connection interface, establishing connection between the standard index database containing demand items to be defined and the demand management tool, and adding an access interface of a standard index retrieval interface in the demand management tool;
s2: and (3) standard index retrieval: opening a demand management tool, selecting demand items to be defined, finding a standard index retrieval interface in the demand management tool, inputting keyword retrieval standard index data of the demand items to be defined, accessing a standard index database by the demand management tool, and returning a retrieval result according to keyword information;
s3: and (3) standard index comparison: obtaining one or more standard indexes according to a retrieval result obtained by keyword retrieval, when the standard indexes are multiple, comparing the contents of the multiple standard indexes, selecting standard index data to be compared in the comparison process, adding all the standard index data to be compared into a standard index comparison list, and respectively comparing the attribute contents of the standard indexes to obtain a comparison result, wherein the specific standard index comparison method comprises the following steps:
comparing the standard indexes, determining the weight coefficient values of all attributes of the standard indexes by adopting an analytic hierarchy process, calculating a demand conformance result of each standard index through a standard index comparison calculation model, and selecting one standard index with the highest demand conformance as the final standard index;
the standard index comparison calculation model is as follows:
in the formula: sigmaiA weight coefficient being an attribute of the standard index; x is the number ofiThe standard indexes are attributes of the standard indexes, and the attributes of the standard indexes comprise an index name x1, an index clause x2, a standard name x3, an index value x4, an index chart x5, a test method x6, a product name x7, a superior product x8 and a test method chart x 9;
the method for determining the weight coefficient value of each attribute of the standard index comprises the following steps:
a. determining a relative importance judgment matrix of standard indexes and carrying out consistency check by constructing an analytic hierarchy process model according to the relative weight ratio of coefficients and a consistency check rule,obtaining a weight coefficient sigma of an attribute of a standard indexiThe standard index importance weight coefficient vector matrix is as follows:
b. verifying the weight coefficient of the standard index importance weight coefficient vector matrix: in the analytic hierarchy process model, the consistency ratio is 0.0484, and a target coefficient 1.0000 conforming to the analytic hierarchy process model is obtained by calculation according to the standard index importance weight coefficient vector; λ max is 9.5651; proving that the weight coefficient of the matrix meets the requirement;
c. obtaining a weight coefficient sigma of an attribute of a standard indexiAs shown in the following table:
index attribute | Weight coefficient |
Index name | 0.2126 |
Terms of the index | 0.2045 |
Standard name | 0.1554 |
Product name | 0.111 |
Index value | 0.0945 |
Superior product | 0.0924 |
Index chart | 0.0587 |
Test method | 0.0411 |
Test method chart | 0.0299 |
S4: selecting standard indexes: and selecting a standard index with the highest standard conformity value as a requirement item to be defined, and if the clause requirement of the selected standard index is not completely suitable for the requirement, cutting or modifying the clause content of the standard index according to the actual condition.
The step S3 includes the following sub-steps:
s31: adding the standard indexes into a comparison list, and adding a plurality of standard indexes;
s32: and viewing the comparison list, wherein the viewable information comprises the chapter number, the index name, the index clause, the associated information, the standard system and the product model of the standard index.
Preferably, the data of the standard index library is structured and processed to form structured data in the form of standard indexes, and the structured data is stored in a relational database for being applied to the requirement definition stage, so that the requirement management tool can be conveniently connected and accessed.
Preferably, the requirement management tool stores requirement files, is used for requirement definition, authority management and state management, and can perform standard index database access, standard index retrieval and standard index selection.
Preferably, the standard retrieval adopts a mode comprising full-library retrieval and conditional retrieval, wherein the full-library retrieval is to retrieve standard index information according to keywords; the retrieval conditions that can be used for the condition retrieval include a standard name, a standard number, an index name, index terms, an index value, a higher-level index, a chapter number, a product name, and a higher-level product.
Preferably, the attributes of the standard indexes comprise index information, associated information, the affiliated standard system and a standard passing condition, wherein the index information comprises a product name, a superior product, a chapter number, an index name, a superior index, an index value, an index clause, an index chart, a test method chapter number, a test method chart and a test method; the associated information comprises experience training, cost information and risk information; the belonging standard comprises a standard number, a standard name and a standard state; the standard system comprises a system name and a node path; the standard penetrating condition comprises a product name, a product model, a matched model and a development unit.
DETAILED DESCRIPTION OF EMBODIMENT (S) OF INVENTION
The working principle of the invention is further explained below by taking the design requirements of the aircraft as an example:
the requirement document of the airplane design comprises various subsystems, such as the design of a navigation system, software and hardware requirements of the lower level of the navigation system, navigation precision, navigation targets and the like, when a certain requirement is met, such as a navigation precision error, the navigation precision can be input in a retrieval interface, and a retrieval result can have one standard index or a plurality of standard indexes.
And then carrying out weight analysis on different standard indexes, analyzing the most appropriate standard index, selecting one standard index with the highest standard conformity value, and cutting or modifying the standard index clause content according to the actual condition if the clause requirement of the selected standard index is not completely suitable for the requirement. If the relevant standard indexes are not searched, the fact that corresponding standards do not exist in the database is proved, the relevant standard indexes can be determined according to other modes, the data of the standard indexes are added into the database, and therefore the system can conveniently conduct self-learning and can be called next time.
The above-mentioned embodiments are merely illustrative of the preferred embodiments of the present invention, and do not limit the scope of the present invention, and various modifications and improvements made to the technical solution of the present invention by those skilled in the art without departing from the spirit of the present invention shall fall within the protection scope defined by the claims of the present invention.
Claims (6)
1. A product demand definition and tracing method based on a standard index library is characterized in that: the method comprises the following steps:
s1: establishing data connection: storing the structured data of the standard index in a relational database, establishing access connection between the relational database and a demand management tool, configuring a connection interface, establishing connection between the standard index database containing demand items to be defined and the demand management tool, and adding an access interface of a standard index retrieval interface in the demand management tool;
s2: and (3) standard index retrieval: opening a demand management tool, selecting demand items to be defined, finding a standard index retrieval interface in the demand management tool, inputting keyword retrieval standard index data of the demand items to be defined, accessing a standard index database by the demand management tool, and returning a retrieval result according to keyword information;
s3: and (3) standard index comparison: obtaining one or more standard indexes according to a retrieval result obtained by keyword retrieval, when the standard indexes are multiple, comparing the contents of the multiple standard indexes, selecting standard index data to be compared in the comparison process, adding all the standard index data to be compared into a standard index comparison list, and respectively comparing the attribute contents of the standard indexes to obtain a comparison result, wherein the specific standard index comparison method comprises the following steps:
comparing the standard indexes, determining the weight coefficient values of all attributes of the standard indexes by adopting an analytic hierarchy process, calculating a demand conformance result of each standard index through a standard index comparison calculation model, and selecting one standard index with the highest demand conformance as the final standard index;
the standard index comparison calculation model is as follows:
in the formula: sigmaiA weight coefficient being an attribute of the standard index; x is the number ofiThe standard indexes are attributes of the standard indexes, and the attributes of the standard indexes comprise an index name x1, an index clause x2, a standard name x3, an index value x4, an index chart x5, a test method x6, a product name x7, a superior product x8 and a test method chart x 9;
the method for determining the weight coefficient value of each attribute of the standard index comprises the following steps:
a. determining a relative importance judgment matrix of the standard index and carrying out consistency check according to the relative weight ratio of the coefficient and the consistency check rule by constructing an analytic hierarchy process model to obtain a weight coefficient sigma of the attribute of the standard indexiThe standard index importance weight coefficient vector matrix is as follows:
b. Verifying the weight coefficient of the standard index importance weight coefficient vector matrix: in the analytic hierarchy process model, the consistency ratio is 0.0484, and a target coefficient 1.0000 conforming to the analytic hierarchy process model is obtained by calculation according to the standard index importance weight coefficient vector; λ max is 9.5651; proving that the weight coefficient of the matrix meets the requirement;
c. obtaining a weight coefficient sigma of an attribute of a standard indexiAs shown in the following table:
S4: selecting standard indexes: and selecting a standard index with the highest standard conformity value as a requirement item to be defined, and if the clause requirement of the selected standard index is not completely suitable for the requirement, cutting or modifying the clause content of the standard index according to the actual condition.
2. The method for product demand definition and traceability based on a standard index library as claimed in claim 1, wherein: the data of the standard index library is structured and processed to form structured data in a standard index form, and the structured data is stored in a relational database for being applied to a requirement definition stage, so that a requirement management tool can be conveniently connected and accessed.
3. The method for product demand definition and traceability based on a standard index library as claimed in claim 1, wherein: the requirement management tool stores requirement files, is used for requirement definition, authority management and state management, and can access a standard index database, retrieve standard indexes and select standard indexes.
4. The method for product demand definition and traceability based on a standard index library as claimed in claim 2, wherein: the standard retrieval adopts a mode comprising full-base retrieval and conditional retrieval, wherein the full-base retrieval is to retrieve standard index information according to keywords; the retrieval conditions that can be used for the condition retrieval include a standard name, a standard number, an index name, index terms, an index value, a higher-level index, a chapter number, a product name, and a higher-level product.
5. The method for product demand definition and traceability based on a standard index library as claimed in claim 2, wherein: the attributes of the standard indexes comprise index information, associated information, the affiliated standard system and the standard passing condition.
6. The method for product requirement definition and traceability based on a standard index library of claim 5, wherein: the index information comprises a product name, a superior product, a chapter number, an index name, a superior index, an index value, an index clause, an index chart, a test method chapter number, a test method chart and a test method; the associated information comprises experience training, cost information and risk information; the belonging standard comprises a standard number, a standard name and a standard state; the standard system comprises a system name and a node path; the standard penetrating condition comprises a product name, a product model, a matched model and a development unit.
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2019112560098 | 2019-12-10 | ||
CN201911256009 | 2019-12-10 |
Publications (1)
Publication Number | Publication Date |
---|---|
CN111367499A true CN111367499A (en) | 2020-07-03 |
Family
ID=71209084
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010198400.3A Pending CN111367499A (en) | 2019-12-10 | 2020-03-19 | Product demand definition and tracing method based on standard index library |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111367499A (en) |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112307171A (en) * | 2020-10-30 | 2021-02-02 | 中国电力科学研究院有限公司 | Institutional standard retrieval method and system based on power knowledge base and readable storage medium |
CN113656372A (en) * | 2021-08-13 | 2021-11-16 | 南方电网数字电网研究院有限公司 | Standard index database data mart architecture model and method |
CN113704882A (en) * | 2021-08-08 | 2021-11-26 | 中国航空工业集团公司沈阳飞机设计研究所 | Full-machine standard view construction method based on standard data structuralization |
CN115619266A (en) * | 2022-10-12 | 2023-01-17 | 中国航空综合技术研究所 | Index acquisition method for aviation equipment research and development activities |
Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020120620A1 (en) * | 2000-11-30 | 2002-08-29 | Victor Chan | Method and system for composing a query for a database and traversing the database |
CN106021393A (en) * | 2016-05-11 | 2016-10-12 | 南方电网科学研究院有限责任公司 | Mobile equipment-oriented power grid equipment standard information retrieval method and system |
CN107274093A (en) * | 2017-06-13 | 2017-10-20 | 国网新疆电力公司经济技术研究院 | A kind of methods of risk assessment of safe operation of electric network |
CN109522453A (en) * | 2018-10-22 | 2019-03-26 | 中国航空综合技术研究所 | A kind of standard criterion digitalized processing method towards equipment technology index |
CN109871468A (en) * | 2019-02-01 | 2019-06-11 | 国网四川省电力公司广元供电公司 | Non-structured document management and rules and regulations entry management integration system |
CN110413630A (en) * | 2018-08-27 | 2019-11-05 | 上海纵坤信息技术有限公司 | Examination criteria searching system and method |
-
2020
- 2020-03-19 CN CN202010198400.3A patent/CN111367499A/en active Pending
Patent Citations (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20020120620A1 (en) * | 2000-11-30 | 2002-08-29 | Victor Chan | Method and system for composing a query for a database and traversing the database |
CN106021393A (en) * | 2016-05-11 | 2016-10-12 | 南方电网科学研究院有限责任公司 | Mobile equipment-oriented power grid equipment standard information retrieval method and system |
CN107274093A (en) * | 2017-06-13 | 2017-10-20 | 国网新疆电力公司经济技术研究院 | A kind of methods of risk assessment of safe operation of electric network |
CN110413630A (en) * | 2018-08-27 | 2019-11-05 | 上海纵坤信息技术有限公司 | Examination criteria searching system and method |
CN109522453A (en) * | 2018-10-22 | 2019-03-26 | 中国航空综合技术研究所 | A kind of standard criterion digitalized processing method towards equipment technology index |
CN109871468A (en) * | 2019-02-01 | 2019-06-11 | 国网四川省电力公司广元供电公司 | Non-structured document management and rules and regulations entry management integration system |
Non-Patent Citations (3)
Title |
---|
周立新;袁彪;汪永超;: "面向绿色制造的机床设备优化选择" * |
李思源;谭业双;: "基于层次分析法和信息熵的多准则指标选取" * |
杨柳;龙怀玉;刘鸣达;罗斌;丁保华;雷秋良;张认连;张燕;高添;: "无公害农产品标准数据库***设计" * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN112307171A (en) * | 2020-10-30 | 2021-02-02 | 中国电力科学研究院有限公司 | Institutional standard retrieval method and system based on power knowledge base and readable storage medium |
CN112307171B (en) * | 2020-10-30 | 2022-02-11 | 中国电力科学研究院有限公司 | Institutional standard retrieval method and system based on power knowledge base and readable storage medium |
CN113704882A (en) * | 2021-08-08 | 2021-11-26 | 中国航空工业集团公司沈阳飞机设计研究所 | Full-machine standard view construction method based on standard data structuralization |
CN113656372A (en) * | 2021-08-13 | 2021-11-16 | 南方电网数字电网研究院有限公司 | Standard index database data mart architecture model and method |
CN113656372B (en) * | 2021-08-13 | 2022-06-21 | 南方电网数字电网研究院有限公司 | Standard index database data mart architecture device and method |
CN115619266A (en) * | 2022-10-12 | 2023-01-17 | 中国航空综合技术研究所 | Index acquisition method for aviation equipment research and development activities |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN111367499A (en) | Product demand definition and tracing method based on standard index library | |
US8108367B2 (en) | Constraints with hidden rows in a database | |
CN109240901B (en) | Performance analysis method, performance analysis device, storage medium, and electronic apparatus | |
US7562088B2 (en) | Structure extraction from unstructured documents | |
US8655861B2 (en) | Query metadata engine | |
US20080243778A1 (en) | Cube faceted data analysis | |
CN109902100A (en) | Report form inquiring method, device and storage medium | |
EP3051432A1 (en) | Semantic information acquisition method, keyword expansion method thereof, and search method and system | |
US20130166498A1 (en) | Model Based OLAP Cube Framework | |
US9589019B2 (en) | Performance analysis of a database | |
RU2406115C2 (en) | Accessing complex data | |
US20080294612A1 (en) | Method For Generating A Representation Of A Query | |
CN110222071B (en) | Data query method, device, server and storage medium | |
US20200042514A1 (en) | Method, system and computer-readable medium for obtaining a structured query from a search string | |
US20090112787A1 (en) | Automated natural language formula translator and data evaluator | |
US9298686B2 (en) | System and method for simulating discrete financial forecast calculations | |
CN114253995B (en) | Data tracing method, device, equipment and computer readable storage medium | |
CN114580146A (en) | Simulation data analysis method, device, terminal and storage medium | |
CN110874366B (en) | Data processing and inquiring method and device | |
CN117667991A (en) | Structured query language generation method, verification method and device | |
JP2000222418A (en) | Method and device for retrieving data base | |
US20130124484A1 (en) | Persistent flow apparatus to transform metrics packages received from wireless devices into a data store suitable for mobile communication network analysis by visualization | |
CN116842076A (en) | Data analysis method, device, analysis equipment and readable storage medium | |
CN116450782A (en) | Knowledge-driven space product assembly process information retrieval method | |
CN114860759A (en) | Data processing method, device and equipment and readable storage medium |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |